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所在平台: Udemy |
课程主页: https://www.udemy.com/course/java-digital-signal-processing-dsp/
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课程名称：从基础开始的Java数字信号处理（DSP） 课程概述：该课程采用基于编程的方法，旨在以引人入胜且易于理解的方式为您提供数字信号处理（DSP）最有用方面的坚实基础。课程的目标是呈现实用技术，同时避免抽象数学理论的障碍。DSP技术以简单易懂的语言和计算机代码进行解释，而不仅仅是通过数学推导来证明其正确性。为保持简明，这门课程提供不同的编程语言和硬件架构，学生可以选择自己喜欢的编程语言或硬件架构来实践这些技术。此版本课程使用Java编程语言。 在每个DSP主题中，我们将开发相同算法的两个版本：一个版本关注代码可读性，另一个版本则专注于健壮性和执行速度。为此，我们将使用循环展开和乘累加（MAC）等编程技术。课程结束时，您将能够用Java构建完整的DSP库，开发卷积核算法、离散傅里叶变换（DFT）算法、逆离散傅里叶变换（IDFT）算法，设计并开发有限冲激响应（FIR）滤波器，设计并开发无限冲激响应（IIR）滤波器，开发窗口化Sinc滤波器，构建改进的Sallen-Key滤波器，构建贝塞尔、切比雪夫和巴特沃斯滤波器，开发快速傅里叶变换（FFT）算法，甚至能够进行关于DSP的讲解等更多内容。 欢迎查看完整课程大纲。
With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language and computer code, not simply proven to be true through mathematical derivations. Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice. This version of the course uses the Java programming language. With each dsp topic we shall develop two versions of the same algorithm. One version shall be focused on code readable and the other version shall focus on robustness and execution speed- we shall employ programming techniques such loop unrolling and Multiply- Accumulate (MAC) to accomplish this.By the end of this course you should be able build a complete DSP library in java, develop the Convolution Kernel algorithm in Java, develop the Discrete Fourier Transform (DFT) algorithm in Java, develop the Inverse Discrete Fourier Transform (IDFT) algorithm in Java, design and develop Finite Impulse Response (FIR) filters in Java, design and develop Infinite Impulse Response (IIR) filters in Java, develop Windowed-Sinc filters in Java, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm in Java, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
